Update app.py

app.py

@@ -208,155 +208,148 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme") as demo:
     # Send button for messages
     submit_btn = gr.Button("Send", variant="primary")
 
-    # Create tabs for different settings
+    # Create accordion for settings
     with gr.Accordion("Settings", open=False):
-        # Tab for general settings
-        with gr.Tab("General Settings"):
-            # System message
-            system_message_box = gr.Textbox(
-                value="You are a helpful AI assistant that can understand images and text.", 
-                placeholder="You are a helpful assistant.",
-                label="System Prompt"
-            )
-            
-            # Generation parameters
-            with gr.Row():
-                with gr.Column():
-                    max_tokens_slider = gr.Slider(
-                        minimum=1,
-                        maximum=4096,
-                        value=512,
-                        step=1,
-                        label="Max tokens"
-                    )
-                    
-                    temperature_slider = gr.Slider(
-                        minimum=0.1,
-                        maximum=4.0,
-                        value=0.7,
-                        step=0.1,
-                        label="Temperature"
-                    )
-                    
-                with gr.Column():
-                    top_p_slider = gr.Slider(
-                        minimum=0.1,
-                        maximum=1.0,
-                        value=0.95,
-                        step=0.05,
-                        label="Top-P"
-                    )
-                    
-                    frequency_penalty_slider = gr.Slider(
-                        minimum=-2.0,
-                        maximum=2.0,
-                        value=0.0,
-                        step=0.1,
-                        label="Frequency Penalty"
-                    )
-                    
-                    seed_slider = gr.Slider(
-                        minimum=-1,
-                        maximum=65535,
-                        value=-1,
-                        step=1,
-                        label="Seed (-1 for random)"
-                    )
+        # System message
+        system_message_box = gr.Textbox(
+            value="You are a helpful AI assistant that can understand images and text.", 
+            placeholder="You are a helpful assistant.",
+            label="System Prompt"
+        )
         
-        # Tab for provider and model selection
-        with gr.Tab("Provider & Model"):
-            with gr.Row():
-                with gr.Column():
-                    # Provider selection
-                    providers_list = [
-                        "hf-inference",  # Default Hugging Face Inference
-                        "cerebras",      # Cerebras provider
-                        "together",      # Together AI
-                        "sambanova",     # SambaNova
-                        "novita",        # Novita AI
-                        "cohere",        # Cohere
-                        "fireworks-ai",  # Fireworks AI
-                        "hyperbolic",    # Hyperbolic
-                        "nebius",        # Nebius
-                    ]
-                    
-                    provider_radio = gr.Radio(
-                        choices=providers_list,
-                        value="hf-inference",
-                        label="Inference Provider",
-                        info="[View all models here](https://huggingface.co/models?inference_provider=all&sort=trending)"
-                    )
-                    
-                    # New BYOK textbox
-                    byok_textbox = gr.Textbox(
-                        value="",
-                        label="BYOK (Bring Your Own Key)",
-                        info="Enter a custom Hugging Face API key here. When empty, only 'hf-inference' provider can be used.",
-                        placeholder="Enter your Hugging Face API token",
-                        type="password"  # Hide the API key for security
-                    )
-                    
-                with gr.Column():
-                    # Custom model box
-                    custom_model_box = gr.Textbox(
-                        value="",
-                        label="Custom Model",
-                        info="(Optional) Provide a custom Hugging Face model path. Overrides any selected featured model.",
-                        placeholder="meta-llama/Llama-3.3-70B-Instruct"
-                    )
-                    
-                    # Model search
-                    model_search_box = gr.Textbox(
-                        label="Filter Models",
-                        placeholder="Search for a featured model...",
-                        lines=1
-                    )
-            
-            # Featured models list
-            # Updated to include multimodal models
-            models_list = [
-                # Multimodal models
-                "meta-llama/Llama-3.3-70B-Vision",
-                "Alibaba-NLP/NephilaV-16B-Chat",
-                "mistralai/Mistral-Large-Vision-2407",
-                "OpenGVLab/InternVL-Chat-V1-5",
-                "microsoft/Phi-3.5-vision-instruct",
-                "Qwen/Qwen2.5-VL-7B-Instruct",
-                "liuhaotian/llava-v1.6-mistral-7b",
+        # Generation parameters
+        with gr.Row():
+            with gr.Column():
+                max_tokens_slider = gr.Slider(
+                    minimum=1,
+                    maximum=4096,
+                    value=512,
+                    step=1,
+                    label="Max tokens"
+                )
                 
-                # Standard text models
-                "meta-llama/Llama-3.3-70B-Instruct",
-                "meta-llama/Llama-3.1-70B-Instruct",
-                "meta-llama/Llama-3.0-70B-Instruct",
-                "meta-llama/Llama-3.2-3B-Instruct",
-                "meta-llama/Llama-3.2-1B-Instruct",
-                "meta-llama/Llama-3.1-8B-Instruct",
-                "NousResearch/Hermes-3-Llama-3.1-8B",
-                "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
-                "mistralai/Mistral-Nemo-Instruct-2407",
-                "mistralai/Mixtral-8x7B-Instruct-v0.1",
-                "mistralai/Mistral-7B-Instruct-v0.3",
-                "mistralai/Mistral-7B-Instruct-v0.2",
-                "Qwen/Qwen3-235B-A22B",
-                "Qwen/Qwen3-32B",
-                "Qwen/Qwen2.5-72B-Instruct",
-                "Qwen/Qwen2.5-3B-Instruct",
-                "Qwen/Qwen2.5-0.5B-Instruct",
-                "Qwen/QwQ-32B",
-                "Qwen/Qwen2.5-Coder-32B-Instruct",
-                "microsoft/Phi-3.5-mini-instruct",
-                "microsoft/Phi-3-mini-128k-instruct",
-                "microsoft/Phi-3-mini-4k-instruct",
-            ]
-
-            featured_model_radio = gr.Radio(
-                label="Select a model below",
-                choices=models_list,
-                value="meta-llama/Llama-3.3-70B-Vision",  # Default to a multimodal model
-                interactive=True
-            )
+                temperature_slider = gr.Slider(
+                    minimum=0.1,
+                    maximum=4.0,
+                    value=0.7,
+                    step=0.1,
+                    label="Temperature"
+                )
+                
+                top_p_slider = gr.Slider(
+                    minimum=0.1,
+                    maximum=1.0,
+                    value=0.95,
+                    step=0.05,
+                    label="Top-P"
+                )
+                
+            with gr.Column():
+                frequency_penalty_slider = gr.Slider(
+                    minimum=-2.0,
+                    maximum=2.0,
+                    value=0.0,
+                    step=0.1,
+                    label="Frequency Penalty"
+                )
+                
+                seed_slider = gr.Slider(
+                    minimum=-1,
+                    maximum=65535,
+                    value=-1,
+                    step=1,
+                    label="Seed (-1 for random)"
+                )
+        
+        # Provider selection
+        providers_list = [
+            "hf-inference",  # Default Hugging Face Inference
+            "cerebras",      # Cerebras provider
+            "together",      # Together AI
+            "sambanova",     # SambaNova
+            "novita",        # Novita AI
+            "cohere",        # Cohere
+            "fireworks-ai",  # Fireworks AI
+            "hyperbolic",    # Hyperbolic
+            "nebius",        # Nebius
+        ]
+        
+        provider_radio = gr.Radio(
+            choices=providers_list,
+            value="hf-inference",
+            label="Inference Provider",
+            info="[View all models here](https://huggingface.co/models?inference_provider=all&sort=trending)"
+        )
+        
+        # New BYOK textbox
+        byok_textbox = gr.Textbox(
+            value="",
+            label="BYOK (Bring Your Own Key)",
+            info="Enter a custom Hugging Face API key here. When empty, only 'hf-inference' provider can be used.",
+            placeholder="Enter your Hugging Face API token",
+            type="password"  # Hide the API key for security
+        )
+        
+        # Custom model box
+        custom_model_box = gr.Textbox(
+            value="",
+            label="Custom Model",
+            info="(Optional) Provide a custom Hugging Face model path. Overrides any selected featured model.",
+            placeholder="meta-llama/Llama-3.3-70B-Instruct"
+        )
+        
+        # Model search
+        model_search_box = gr.Textbox(
+            label="Filter Models",
+            placeholder="Search for a featured model...",
+            lines=1
+        )
+        
+        # Featured models list
+        # Updated to include multimodal models
+        models_list = [
+            # Multimodal models
+            "meta-llama/Llama-3.3-70B-Vision",
+            "Alibaba-NLP/NephilaV-16B-Chat",
+            "mistralai/Mistral-Large-Vision-2407",
+            "OpenGVLab/InternVL-Chat-V1-5",
+            "microsoft/Phi-3.5-vision-instruct",
+            "Qwen/Qwen2.5-VL-7B-Instruct",
+            "liuhaotian/llava-v1.6-mistral-7b",
             
-            gr.Markdown("[View all multimodal models](https://huggingface.co/models?pipeline_tag=image-to-text&sort=trending)")
+            # Standard text models
+            "meta-llama/Llama-3.3-70B-Instruct",
+            "meta-llama/Llama-3.1-70B-Instruct",
+            "meta-llama/Llama-3.0-70B-Instruct",
+            "meta-llama/Llama-3.2-3B-Instruct",
+            "meta-llama/Llama-3.2-1B-Instruct",
+            "meta-llama/Llama-3.1-8B-Instruct",
+            "NousResearch/Hermes-3-Llama-3.1-8B",
+            "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
+            "mistralai/Mistral-Nemo-Instruct-2407",
+            "mistralai/Mixtral-8x7B-Instruct-v0.1",
+            "mistralai/Mistral-7B-Instruct-v0.3",
+            "mistralai/Mistral-7B-Instruct-v0.2",
+            "Qwen/Qwen3-235B-A22B",
+            "Qwen/Qwen3-32B",
+            "Qwen/Qwen2.5-72B-Instruct",
+            "Qwen/Qwen2.5-3B-Instruct",
+            "Qwen/Qwen2.5-0.5B-Instruct",
+            "Qwen/QwQ-32B",
+            "Qwen/Qwen2.5-Coder-32B-Instruct",
+            "microsoft/Phi-3.5-mini-instruct",
+            "microsoft/Phi-3-mini-128k-instruct",
+            "microsoft/Phi-3-mini-4k-instruct",
+        ]
+
+        featured_model_radio = gr.Radio(
+            label="Select a model below",
+            choices=models_list,
+            value="meta-llama/Llama-3.3-70B-Vision",  # Default to a multimodal model
+            interactive=True
+        )
+        
+        gr.Markdown("[View all multimodal models](https://huggingface.co/models?pipeline_tag=image-to-text&sort=trending)")
 
     # Chat history state
     chat_history = gr.State([])